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On comonotone commuting and weak subadditivity properties of seminormed fuzzy integrals

Fuzzy Sets and Systems, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boczek, MichaƂ, Kaluszka, Marek
openaire   +2 more sources

-Homogeneity properties of seminormed fuzzy integrals

Fuzzy Sets and Systems, 2006
This paper is concerned with the ''maxitivity'' and ''homogeneity'' of integrals, in a very general setting. For the semi(co)normed fuzzy integrals, we study the maxitivity, minitivity, and @?-homogeneity (@?-homogeneity) properties. Some necessary conditions for the fuzzy integrals to have such homogeneity properties are obtained.
openaire   +1 more source

Loss Function Information Fusion and Decision Rule Deduction of Three-Way Decision by Constructing Interval-Valued $q$-Rung Orthopair Fuzzy Integral

IEEE transactions on fuzzy systems, 2021
Three-way decision is consistent with human cognitive processes and applied to different information systems. However, since the real world is more imprecision, hesitation, and ambiguity, experts can select interval fuzzy information to represent their ...
Decui Liang   +3 more
semanticscholar   +1 more source

Actionable XAI for the Fuzzy Integral

IEEE International Conference on Fuzzy Systems, 2021
The adoption of artificial intelligence (AI) into domains that impact human life (healthcare, agriculture, security and defense, etc.) has led to an increased demand for explainable AI (XAI).
Bryce J. Murray   +2 more
semanticscholar   +1 more source

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation

IEEE International Conference on Fuzzy Systems, 2021
Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images.
Qiao Lin   +3 more
semanticscholar   +1 more source

Fuzzy Integral Sliding Mode Observer-Based Structure and Motion Estimation of Multiple Objects Using a Monocular Camera

IEEE transactions on fuzzy systems, 2021
This article proposes a method to estimate the structure and motion (SaM) of multiple objects using a monocular camera. Most of the existing methods for SaM estimation are restricted to a single object by constraining the camera and object motions.
Dongkyoung Chwa
semanticscholar   +1 more source

Geometrically Motivated Fuzzy Measures and Choquet Integral for Multi-Look Fusion

IEEE International Conference on Fuzzy Systems, 2023
The fuzzy integral (FI), which is defined and ultimately driven by the fuzzy measure (FM), is a versatile aggregation operator. Data driven approaches tend to learn fixed FIs that may not perform well in new contexts.
Brendan J. Alvey, Derek Anderson
semanticscholar   +1 more source

Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer Vision

IEEE transactions on fuzzy systems
Fuzzy integral fusion has been shown as an effective tool for enhancing classification accuracy while also achieving explainability. With the deep learning boom in the past decade, many researchers have investigated the advantages of fusing various deep ...
Yifan Wang   +3 more
semanticscholar   +1 more source

On the Potential of Fuzzy Integral-based Decision-level Fusion when the Fuzzy Measure is Informed by Densities Alone

IEEE International Conference on Fuzzy Systems
Aggregation is key technique in decision-level fusion of classifiers. Beyond affording performance in an ensemble-sense, such aggregation operator based fusion also has the potential to add a substantial layer of interpretability to the overall systems ...
Yanhao Huang, Christian Wagner
semanticscholar   +1 more source

Dissipativity-Based Integral Sliding Mode Control of Fuzzy Switched Positive Systems With Bumpless Transfer Performance

IEEE transactions on fuzzy systems
Nonlinear switched positive systems (SPSs) subject to time-varying delays are ubiquitous in actual applications, whose control and synthesis are complicated due to the influence of positivity constraints, switching laws, and time delays.
Zhiye Bai   +3 more
semanticscholar   +1 more source

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